{"id":"W3198526768","doi":"10.1002/admt.202100652","title":"Intelligent Ureteral Stent for Early Detection of Hydronephrosis","year":2021,"lang":"en","type":"article","venue":"Advanced Materials Technologies","topic":"Renal and Vascular Pathologies","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; University of British Columbia","funders":"British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Stent; Hydronephrosis; Materials science; Ureter; Biomedical engineering; Radiology; Medicine; Surgery; Internal medicine; Urinary system","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009723972,0.000131743,0.0003904011,0.00008568195,0.00003913565,0.00001392489,0.00008375724,0.0001470623,0.00001299743],"category_scores_gemma":[0.0004015825,0.0001030935,0.0001239059,0.000132775,0.0001105454,0.0000765299,0.0001027333,0.00005879942,0.000005137873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004443729,"about_ca_system_score_gemma":0.00002497526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005375483,"about_ca_topic_score_gemma":0.000002392529,"domain_scores_codex":[0.9991199,0.0000156764,0.0003088499,0.000249273,0.0001096942,0.0001965945],"domain_scores_gemma":[0.9993082,0.00003554026,0.0001192083,0.0003637566,0.000157755,0.00001555956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001851409,0.00003886598,0.000116747,0.000188349,0.00005081709,0.00001520485,0.00003350635,0.000009246255,0.9422577,0.0001960579,0.000005958174,0.05690241],"study_design_scores_gemma":[0.0005628558,0.0006382297,0.002283494,0.000140832,0.00006579746,0.00005594628,0.0005294948,0.00000376788,0.9910787,0.003496112,0.001039223,0.0001055543],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900232,0.001184283,0.007312324,0.0002382239,0.0002756146,0.0004364188,0.00003091964,0.0004689015,0.00003009855],"genre_scores_gemma":[0.9825575,0.001069607,0.01598424,0.00002283709,0.00002037853,0.0001844027,0.00002136746,0.00001599624,0.0001236212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05679686,"threshold_uncertainty_score":0.4204033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01901233194670816,"score_gpt":0.2725249218346247,"score_spread":0.2535125898879166,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}